What is a cluster_block_exception in Elasticsearch? How to solve it? Let’s define an index management policy with a rollover strategy.
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This blog is meant to explain how QueryResultCache and FilterCache are used during the basic query processing in Apache Solr 8.11.0. This blog does not explain how these caches are used during the execution of more advanced components like faceting. Solr caches are associated with a specific instance of an Index Searcher. By default, elements…
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
In the previous blogpost of this series, we looked at how to use BERT to improve search relevance by performing document re-ranking. The assumption of this approach is that the set of documents that need to be re-ranked, also known as candidates, contains the largest number of documents relevant to the query. We say that…
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
We are recently working on contributing knn search in Solr leveraging on the latest Lucene developments. This blog post goal is to give some numbers about the benchmark mesaures gathered during the development process. Setup and collection To benchmark our solution we setup our solr instances using dockerized solr in a t3.large aws machine (2…
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
If you have attended our Artificial Intelligence in Search Training you should now be familiar with the use of Natural Language Processing and Deep Learning applied to search. If you have not, do not worry as we are planning to arrange another date and we will keep you posted through our newsletter, so make sure you subscribe. In the meantime, you can…
How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.